{"ID":2894302,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.11091","arxiv_id":"2507.11091","title":"Array-Aware Ambisonics and HRTF Encoding for Binaural Reproduction With Wearable Arrays","abstract":"This work introduces a novel method for binaural reproduction from arbitrary microphone arrays, based on array-aware optimization of Ambisonics encoding through Head-Related Transfer Function (HRTF) pre-processing. The proposed approach integrates array-specific information into the HRTF processing pipeline, leading to improved spatial accuracy in binaural rendering. Objective evaluations demonstrate superior performance under simulated wearable-array and head rotations compared to conventional Ambisonics encoding method. A listening experiment further confirms that the method achieves significantly higher perceptual ratings in both timbre and spatial quality. Fully compatible with standard Ambisonics, the proposed method offers a practical solution for spatial audio rendering in applications such as virtual reality, augmented reality, and wearable audio capture.","short_abstract":"This work introduces a novel method for binaural reproduction from arbitrary microphone arrays, based on array-aware optimization of Ambisonics encoding through Head-Related Transfer Function (HRTF) pre-processing. The proposed approach integrates array-specific information into the HRTF processing pipeline, leading to...","url_abs":"https://arxiv.org/abs/2507.11091","url_pdf":"https://arxiv.org/pdf/2507.11091v2","authors":"[\"Yhonatan Gayer\",\"Vladimir Tourbabin\",\"Zamir Ben Hur\",\"David Lou Alon\",\"Boaz Rafaely\"]","published":"2025-07-15T08:34:41Z","proceeding":"eess.AS","tasks":"[\"eess.AS\",\"cs.SD\",\"eess.SP\"]","methods":"[]","has_code":false}